Education & AI · Digital School × StarLabs
Help educators use technology with purpose. We bring teaching experience and engineering together to design practical learning activities, support faculty and evaluate what changes.
Adapt one course unit into clear activities, instructor guides and assessment rubrics.
Rehearse and deliver the activities with coaching, peer feedback and local faculty champions.
Review student work and classroom observations, then refine the next lesson together.
People make the difference
An institutional AI strategy becomes useful when an educator can prepare a lesson, guide a discussion and assess a student's reasoning. Our proposed faculty programme concentrates on that everyday practice, alongside your academic team and existing technology partners.
Digital School contributes its instructor-preparation model, lesson guides and experience teaching digital skills. StarLabs brings engineering and quality assurance to the technical work a pilot may require.
Ways to work together
Programmes shaped around your learners, educators and institutional priorities.
A co-designed faculty pilot combining lesson-level preparation, supported classroom delivery and reflection. Train local coaches from the start so the institution can continue the work.
Adapt Digital School's missions, challenges and team-based learning for an adult cohort. Students apply ideas, question AI output and explain their decisions; faculty set the rubric and make the assessment.
Explore licensing Digital School's coding curriculum and DBlox for school-age learners, including high-school and enrichment programmes. Agree the learner pathway, instructor preparation and local delivery model together.
Explore co-delivered AI programmes for executive education and corporate teams. Shape practical sessions around leadership decisions, useful workflows and the responsibilities of adopting AI at work.
Technical and vocational providers can also explore mapping selected coding and AI modules to their existing learning objectives, with programme-specific academic review. Discuss a learning pathway.
Start focused. Earn the next step.
We propose a paid pilot with an academic sponsor, a defined faculty cohort and success criteria agreed before delivery. Use the findings to decide what to improve, what to scale and what to stop.
View the one-page pilot briefIllustrative pilot scope · final scope agreed together
1course unit
20–40instructors
8–16weeks
Weekly active instructors, observed teaching practice and use of the agreed routines.
Rubric-based work and fail/withdrawal rates, using comparable course sections where feasible.
Cost per supported learner and a plan to review retention in the following term.
Agree the baseline, comparison method and data access with the academic team before delivery. These measures guide the pilot evaluation.
Built around your institution
Technical discovery is part of the pilot. We agree what needs to connect, where information may be processed and who approves the work before implementation.
Scope activities around institution-approved tools such as Gemini and NotebookLM. Assess Blackboard/LTI and single sign-on requirements during discovery; confirm compatibility before delivery.
For Spanish-speaking cohorts, include Spanish-language materials, facilitation and local academic review in the proposed delivery plan. Confirm localisation readiness before a pilot begins.
Work within approved course units. Educators retain control of rubrics, feedback and final assessment. Review AI-generated material before it reaches learners.
Agree customer-controlled hosting, permitted data flows, access and deletion rules. Our proposed pilot terms prohibit training models on student data and define ownership and reuse of content and tools.
The final pilot plan documents the agreed integrations, deployment controls and academic approvals.
A practical foundation
Our foundation is Digital School's teaching model and learning tools, supported by StarLabs' engineering capability. A higher-education pilot adapts and tests that experience in a new academic setting.
Lesson resources, preparation and feedback are part of Digital School's education model.
Explore the teaching model (opens in a new tab)DBlox gives learners a place to build, test and explain code through practical challenges.
See DBlox in practiceDigital School's AI Lab offers applied learning for individuals and organisations.
Visit the AI Lab (opens in a new tab)Tell us about your learners, the faculty group and the tools already in place. We will use that context to scope the teaching, technical work and evaluation together.
Discuss an education pilot